Triple
T16049544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander Wang |
E389316
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Alexander Wang |
E389316
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Alexander Wang | Statement: [Alexander Wang, name, Alexander Wang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexander Wang Context triple: [Alexander Wang, name, Alexander Wang]
-
A.
Alexander Wang
chosen
Alexander Wang is an American fashion designer known for his edgy, minimalist aesthetic and influential work at his eponymous label and as former creative director of Balenciaga.
-
B.
Alexandr Wang
Alexandr Wang is an American entrepreneur best known as the co-founder and CEO of AI data company Scale AI.
-
C.
Jason Wu
Jason Wu is a Taiwanese-Canadian fashion designer renowned for his elegant, modern womenswear and for dressing high-profile figures including former U.S. First Lady Michelle Obama.
-
D.
Rick Owens
Rick Owens is an American fashion designer renowned for his avant-garde, gothic-influenced aesthetic and influential luxury menswear and womenswear label.
-
E.
JW Anderson
JW Anderson is a London-based fashion label founded by Northern Irish designer Jonathan Anderson, known for its innovative, gender-fluid designs and influential collaborations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18361083c8190abc84534265dc992 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbe095908190ba10399ad6f3b5f8 |
completed | May 10, 2026, 1:14 a.m. |
Created at: April 10, 2026, 4:56 a.m.